Article
Optimal Execution Strategies in Limit Order Books with General Shape Functions
Quantitative Finance (Impact Factor: 0.65). 08/2007; 10(2). DOI: 10.2139/ssrn.1510104
Source: arXiv
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 "which is nonpositive for nonnegative price S t , hence meaning that due to the price impact, one has to sell. Moreover, in the limiting case where λ → ∞, i.e. the terminal inventory X T is constrained to achieve the target H, then α * ,S is zero: we retrieve the result that the optimal trading rate does not depend on the price process when it is a martingale, see [1], [33]. On the other hand, by applying Itô's formula to (4.2), and using (4.3)(4.4), "
[Show abstract] [Hide abstract] ABSTRACT: We consider the optimal control problem for a linear conditional McKeanVlasov equation with quadratic cost functional. The coefficients of the system and the weighting matrices in the cost functional are allowed to be adapted processes with respect to the common noise filtration. Semi closedloop strategies are introduced, and following the dynamic programming approach in [32], we solve the problem and characterize timeconsistent optimal control by means of a system of decoupled backward stochastic Riccati differential equations. We present several financial applications with explicit solutions, and revisit in particular optimal tracking problems with price impact, and the conditional meanvariance portfolio selection in incomplete market model. 
 "For example, we notice that very recently Besson and Lasnier (2015) study the resiliency properties across different European markets and improve the standard market impact model using their resiliency indicator. In addition, we believe that LOB resiliency can also be applied to improve the estimation of the transient or permanent price impact (Bouchaud et al., 2004Bouchaud et al., , 2006 Farmer et al., 2006), to solve the optimal trade execution problem more precisely (Alfonsi et al., 2010; Obizhaeva and Wang, 2013), and to design and calibrate computational models for orderdriven markets (Mike and Farmer, 2008; Gu and Zhou, 2009; Li et al., 2014; Sornette, 2014). "
[Show abstract] [Hide abstract] ABSTRACT: In orderdriven markets, limitorder book (LOB) resiliency is an important microscopic indicator of market quality when the order book is hit by a liquidity shock and plays an essential role in the design of optimal submission strategies of large orders. However, the evolutionary behavior of LOB resilience around liquidity shocks is not well understood empirically. Using order flow data sets of Chinese stocks, we quantify and compare the LOB dynamics characterized by the bidask spread, the LOB depth and the order intensity surrounding effective market orders with different aggressiveness. We find that traders are more likely to submit effective market orders when the spreads are relatively low, the sameside depth is high, and the oppositeside depth is low. Such phenomenon is especially significant when the initial spread is 1 tick. Although the resiliency patterns show obvious diversity after different types of market orders, the spread and depth can return to the sample average within 20 best limit updates. The price resiliency behavior is dominant after aggressive market orders, while the price continuation behavior is dominant after lessaggressive market orders. Moreover, the effective market orders produce asymmetrical stimulus to limit orders when the initial spreads equal to 1 tick. Under this case, effective buy market orders attract more buy limit orders and effective sell market orders attract more sell limit orders. The resiliency behavior of spread and depth is linked to limit order intensity. Finally, we present applications for highfrequency arbitrage based on LOB resiliency analysis and find that both long and short arbitrage strategies we design can achieve significantly positive returns. 
 "As recently discussed in Kallsen and MuhleKarbe [17], the former can be regarded as the highresilience limit of the latter. Within these two models, most of the existing literature studies the problem of optimally liquidating an exogenously given position by some fixed time horizon (cf., e.g., Almgren and Chriss [2], Almgren [4], Schied and Schöneborn [24], Obizhaeva and Wang [21], Alfonsi et al. [1] and Predoiu et al. [22]). Further work is also devoted to the more involved problem of optimal portfolio choice, cf., e.g., Gârleanu and Pedersen [11], [12], Moreau et al. [19], Guasoni and Weber [14], [15] and Kallsen and MuhleKarbe [17]. "
Article: Hedging with Transient Price Impact
[Show abstract] [Hide abstract] ABSTRACT: We consider the problem of hedging a European contingent claim in a Bachelier model with transient price impact as proposed by Almgren and Chriss. Following the approach of Rogers and Singh and Naujokat and Westray, the hedging problem can be regarded as a cost optimal tracking problem of the frictionless hedging strategy. We solve this problem explicitly for general predictable target hedging strategies. It turns out that, rather than towards the current target position, the optimal policy trades towards a weighted average of expected future target positions. This generalizes an observation of Garleanu and Pedersen from their homogenous Markovian optimal investment problem to a general hedging problem. Our findings complement a number of previous studies in the literature on optimal strategies in illiquid markets where the frictionless strategy is confined to diffusions. The consideration of general predictable reference strategies is made possible by the use of a convex analysis approach instead of the more common dynamic programming methods.